Transformer-based Atmospheric Density Forecasting. - Julia Briden; Peng Mun Siew; Víctor Rodríguez-Fernández; Richard Linares (CoRR, 2023)

Improving Computational Efficiency for Powered Descent Guidance via Transformer-based Tight Constraint Prediction. - Julia Briden; Trey Gurga; Breanna Johnson; Abhishek Cauligi; Richard Linares (CoRR, 2023)

Constraint-Informed Learning for Warm Starting Trajectory Optimization. - Julia Briden; Changrak Choi; Kyongsik Yun; Richard Linares; Abhishek Cauligi (CoRR, 2023)

Enhancing Solar Driver Forecasting with Multivariate Transformers. - Sergio Sanchez-Hurtado; Víctor Rodríguez-Fernández; Julia Briden; Peng Mun Siew; Richard Linares (CoRR, 2024)

Compositional Diffusion Models for Powered Descent Trajectory Generation with Flexible Constraints. - Julia Briden; Yilun Du; Enrico M. Zucchelli; Richard Linares (CoRR, 2024)

Diffusion Policies for Generative Modeling of Spacecraft Trajectories. - Julia Briden; Breanna Johnson; Richard Linares; Abhishek Cauligi (CoRR, 2025)

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance. - Julia Briden; Trey Gurga; Breanna Johnson; Abhishek Cauligi; Richard Linares (CoRR, 2025)

Fine-Tuned Language Models as Space Systems Controllers. - Enrico M. Zucchelli; Di Wu; Julia Briden; Christian Hofmann; Víctor Rodríguez-Fernández; Richard Linares (CoRR, 2025)